Abdul-Mugis Yussif is passionate about sustainable transportation, urban mobility, and infrastructure management. He applies machine learning, computer vision, and big data analysis to arrive at compelling solutions for intelligent and sustainable practices in the built environment. He holds an MSc degree with Distinction in Construction and Real Estate from the prestigious Hong Kong Polytechnic University, where he specialized in Construction Technology and Management. He also holds a BSc degree with First Class Honours in Civil Engineering from the renowned Kwame Nkrumah University of Science and Technology. Abdul-Mugis has gained valuable experience in both research and teaching. He has worked as a Research Assistant at The Hong Kong Polytechnic University, contributing to various projects and studies related to the construction and civil engineering industry. He also served as a Teaching Assistant at Kwame Nkrumah University of Science and Technology, where he mentored and assisted undergraduate students in their studies. Abdul-Mugis is a highly motivated and detail-oriented individual with a keen interest in sustainable development and innovative construction practices. His strong academic background, coupled with practical experience, makes him a valuable asset to any organization in the construction and civil engineering sector. He is constantly seeking new challenges and opportunities to develop his skills and knowledge further in this field.